incubate
Parametric Time-to-Event Analysis with Variable Incubation Phases
Fit parametric models for time-to-event data that show an initial 'incubation period', i.e., a variable delay phase where no events occur. The delayed Weibull distribution serves as the foundational data model. For parameter estimation, different flavours of maximum likelihood estimation ('MLE') and the method of maximum product of spacings estimation ('MPSE') are implemented. Bootstrap confidence intervals for parameters and significance tests in a two group setting are provided.
Versions across snapshots
| Version | Repository | File | Size |
|---|---|---|---|
1.4.0 |
rolling linux/jammy R-4.5 | incubate_1.4.0.tar.gz |
620.5 KiB |
1.4.0 |
rolling linux/noble R-4.5 | incubate_1.4.0.tar.gz |
620.2 KiB |
1.4.0 |
rolling source/ R- | incubate_1.4.0.tar.gz |
426.8 KiB |
1.4.0 |
latest source/ R- | incubate_1.4.0.tar.gz |
426.8 KiB |
1.4.0 |
latest linux/jammy R-4.5 | incubate_1.4.0.tar.gz |
620.5 KiB |
1.4.0 |
latest linux/noble R-4.5 | incubate_1.4.0.tar.gz |
620.2 KiB |
1.4.0 |
2026-04-26 source/ R- | incubate_1.4.0.tar.gz |
426.8 KiB |
1.4.0 |
2026-04-23 source/ R- | incubate_1.4.0.tar.gz |
426.8 KiB |
1.4.0 |
2026-04-09 windows/windows R-4.5 | incubate_1.4.0.zip |
712.4 KiB |
1.3.0 |
2025-04-20 source/ R- | incubate_1.3.0.tar.gz |
238.1 KiB |